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Find us
help@cbd.cmu.edu
Computational Biology Department Computational Biology Department
  • About Us
    • Leadership
    • What is Computational Biology?
    • What is Automated Science?
    • Computational Biology Careers Website
    • List of Educational Programs in Computational Biology
    • The Hillman Center
    • History
    • CBD at a Glance
    • News and Events
      • News
      • Calendar
      • Departmental Seminars
      • Meetings
    • Department Resources
  • Education
    • Ph.D. in Computational Biology
    • M.S. in Automated Science
    • M.S. in Computational Biology
    • Undergraduate Program in Computational Biology
      • Major in Computational Biology
        • Why Major in Computational Biology?
        • Degree Requirements
        • The Undergraduate Research Pledge
        • Sample Course Sequence for Computational Biology Majors
        • Guidelines for Transfer to Major in Computational Biology
        • Suggested Courses for “Pre-Med” Computational Biology Majors
        • Additional Major in Computational Biology
          • Double-Counting Suggestions for Additional Majors in SCS
      • Minor in Computational Biology
      • Concentration in Computational Biology
      • Visit Us
    • Pre-College Program in Computational Biology
    • Courses Offered
      • Undergraduate Courses Offered
      • Graduate Courses Offered
      • Course Profiles
        • 02-201/601 Programming for Scientists
        • 02-223 Personalized Medicine: Understanding your Own Genome
        • 02-250 Introduction to Computational Biology
        • 02-251 Great Ideas in Computational Biology
        • 02-261 Quantitative Cell and Molecular Biology Laboratory
        • 02-319/719 Genomics and Epigenetics of the Brain
        • 02-331/731 Modeling Evolution
        • 02-402/702 Computational Biology Seminar
        • 02-414/614 String Algorithms
        • 02-425/725 Computational Methods for Proteogenomics and Metabolomics
        • 02-450/750 Automation of Scientific Research
        • 02-500 Undergraduate Research in Computational Biology
        • 02-510/710 Computational Genomics
        • 02-512/02-712 Computational Methods for Biological Modeling and Simulation
        • 02-518/718 Computational Medicine
        • 02-530/730 Cell and Systems Modeling
        • 02-602 Professional Issues in Computational Biology
        • 02-604 Fundamentals of Bioinformatics
        • 02-605 Professional Issues in Automated Science
        • 02-613 Algorithms and Advanced Data Structures
        • 02-620 Machine Learning for Scientists
        • 02-700 M.S. Research
        • 02-701 CPCB Course / Current Topics in Computational Biology
        • 02-715 Advanced Topics in Computational Genomics
        • 02-740 Bioimage Informatics
        • 02-750 Automation of Scientific Research
        • 02-760 Laboratory Methods for Computational Biologists
        • 02-761 Laboratory Methods for Automated Biology I
        • 02-762 Laboratory Methods for Automated Biology II
        • 02-801 Computational Biology Internship
        • 02-900 Ph.D. Thesis Research
  • Research
    • Software
    • Faculty Research Pages
    • Computational Biology Technical Reports
    • White Papers
  • People
    • Faculty
      • Voting Faculty
      • Affiliated Faculty
      • Visiting Faculty
      • Adjunct Faculty
      • Visiting Interns
    • Staff
      • Department Staff
      • Research Staff
    • Fellows and Special Faculty
      • The Lane Fellows Program
      • Current Lane Fellows
      • Past Lane Fellows
      • Postdoctoral Fellows
      • Past Postdoctoral Fellows
      • Special Faculty
    • Alumni
      • Ph.D. Graduates
      • Alumni Profiles
  • Join Us!
    • Life in Pittsburgh
      • Neighborhoods Near Carnegie Mellon University
      • Things to Do in Pittsburgh
    • Positions Available
    • Apply to Ph.D. Program
    • Apply to MSAS
    • Apply to MSCB
    • Apply to Undergraduate Program
    • Apply to be a Lane Fellow
  • Donate!

02-715 Advanced Topics in Computational Genomics

02-715 COURSE PROFILE

Return to Courses Offered

Course Level Graduate
Units 12 (9 undergraduates – see below)
Special Permission Required? (If yes, see “Notes:) Yes
Frequency Offered Spring
Course Relevance (who should take this course?) This course is designed for advanced graduate students in CBD, primarily in their second year or beyond.
Key Topics Emerging topics in the field, subject to change each offering. Topics include (but are not limited to): alignment-free genomics, single-cell RNA-seq analysis, and immunogenomics.
Background Knowledge It is expected that the students have basic background knowledge in both algorithms and genomics. Because the course focuses on recent work, it is expected that students will take time outside of class to fill in any knowledge gaps before each session.
Assessment Structure Grading is based equally on class participation and projects.
Most Recent Syllabus 02-715 Syllabus Spring 2018
Course Goals/Objectives This course is  primarily designed for graduate students to gain exposure to emerging topics in genomics that are not covered in existing course offerings. The topics presented here may overlap with the students ongoing research, but at least one topic should be novel. At the end of the course it is expected that students able to demonstrate some knowledge of the topics presented, the goal is for each student to feel comfortable working with and discussing  the topics being covered with anyone on the leading edge of the field.  Additionally, the course may expose students to topics that could be of research interest to them later in their career and spur ideas for ongoing research opportunities. We encourage the participants to integrate the projects with their own research if the opportunity arises.
Course Website  n/a (Piazza will be used for dissemination of materials)
Learning Resources Piazza
Course material will consist of recently published worked relating to the topics discussed in each module.
Pre-reqs, Cross List, Related  02-710 or equivalent.
Notes No permission required for CBD Graduate students. Highly advanced undergraduates who have passed 02-510 and graduate students from other departments are welcome with instructor approval.
Department Website https://cbd.cmu.edu
College Website https://cs.cmu.edu
Updated January 2018

 

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